problema de pivot_wider "Los valores en `values_from` no están identificados de forma única; la salida contendrá listas de columnas"
Mis datos se ven así:
# A tibble: 6 x 4
name val time x1
<chr> <dbl> <date> <dbl>
1 C Farolillo 7 2016-04-20 51.5
2 C Farolillo 3 2016-04-21 56.3
3 C Farolillo 7 2016-04-22 56.3
4 C Farolillo 13 2016-04-23 57.9
5 C Farolillo 7 2016-04-24 58.7
6 C Farolillo 9 2016-04-25 59.0
Estoy intentando utilizar la pivot_widerfunción para expandir los datos según la namecolumna. Yo uso el siguiente código:
yy <- d %>%
pivot_wider(., names_from = name, values_from = val)
Lo que me da el siguiente mensaje de advertencia:
Warning message:
Values in `val` are not uniquely identified; output will contain list-cols.
* Use `values_fn = list(val = list)` to suppress this warning.
* Use `values_fn = list(val = length)` to identify where the duplicates arise
* Use `values_fn = list(val = summary_fun)` to summarise duplicates
La salida se parece a:
time x1 out1 out2
2016-04-20 51.50000 <dbl> <dbl>
2 2016-04-21 56.34615 <dbl> <dbl>
3 2016-04-22 56.30000 <dbl> <dbl>
4 2016-04-23 57.85714 <dbl> <dbl>
5 2016-04-24 58.70968 <dbl> <dbl>
6 2016-04-25 58.96774 <dbl> <dbl>
Sé que aquí menciona el problema y para solucionarlo sugieren utilizar estadísticas resumidas. Sin embargo, tengo datos de series temporales y, por lo tanto, no quiero utilizar estadísticas resumidas, ya que cada día tiene un valor único (y no varios valores).
Sé que el problema se debe a que la valcolumna tiene duplicados (es decir, en el ejemplo anterior, 7 aparece 3 veces.
¿Alguna sugerencia sobre cómo pivot_wider y superar este problema?
Datos:
d <- structure(list(name = c("C Farolillo", "C Farolillo", "C Farolillo",
"C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo",
"C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo",
"C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo",
"C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo",
"C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo",
"C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo",
"C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo",
"C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo",
"C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo", "C Farolillo",
"C Farolillo", "C Farolillo", "C Farolillo", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica", "Plaza Eliptica",
"Plaza Eliptica", "Plaza Eliptica"), val = c(7, 3, 7, 13, 7,
9, 20, 19, 4, 5, 5, 2, 6, 6, 16, 13, 7, 6, 3, 3, 6, 10, 5, 3,
5, 3, 4, 4, 10, 11, 4, 13, 8, 2, 8, 10, 3, 10, 14, 4, 2, 4, 6,
6, 8, 8, 3, 3, 13, 10, 13, 32, 25, 31, 34, 26, 33, 35, 43, 22,
22, 21, 10, 33, 33, 48, 47, 27, 23, 11, 13, 25, 31, 20, 16, 10,
9, 23, 11, 23, 26, 16, 34, 17, 4, 24, 21, 10, 26, 32, 10, 5,
9, 19, 14, 27, 27, 10, 8, 28, 32, 25), time = structure(c(16911,
16912, 16913, 16914, 16915, 16916, 16917, 16918, 16919, 16920,
16921, 16922, 16923, 16923, 16924, 16925, 16926, 16927, 16928,
16929, 16930, 16931, 16932, 16933, 16934, 16935, 16936, 16937,
16938, 16939, 16940, 16941, 16942, 16943, 16944, 16945, 16946,
16947, 16948, 16949, 16950, 16951, 16952, 16953, 16954, 16955,
16956, 16957, 16958, 16959, 16960, 16911, 16912, 16913, 16914,
16915, 16916, 16917, 16918, 16919, 16920, 16921, 16922, 16923,
16923, 16924, 16925, 16926, 16927, 16928, 16929, 16930, 16931,
16932, 16933, 16934, 16935, 16936, 16937, 16938, 16939, 16940,
16941, 16942, 16943, 16944, 16945, 16946, 16947, 16948, 16949,
16950, 16951, 16952, 16953, 16954, 16955, 16956, 16957, 16958,
16959, 16960), class = "Date"), x1 = c(51.5, 56.3461538461538,
56.3, 57.8571428571429, 58.7096774193548, 58.9677419354839, 64.4615384615385,
61.9310344827586, 60.3214285714286, 59.4137931034483, 59.5806451612903,
57.3448275862069, 64.0333333333333, 64.0333333333333, 70.15625,
71.3636363636364, 62.8125, 56.4375, 56.4516129032258, 51.741935483871,
52.84375, 53.09375, 52.969696969697, 54, 54.3870967741936, 60.3870967741936,
64.4516129032258, 66.2903225806452, 68.2333333333333, 69.7741935483871,
70.5806451612903, 73.8275862068966, 72.8181818181818, 64.6764705882353,
64.4838709677419, 68.7741935483871, 62.1764705882353, 68.969696969697,
70.1935483870968, 59.6774193548387, 59.9677419354839, 63.125,
67.5882352941177, 71.4705882352941, 73.8529411764706, 76.1935483870968,
72.6451612903226, 76.0645161290323, 76.4193548387097, 81.7741935483871,
85.0645161290323, 51.5, 56.3461538461538, 56.3, 57.8571428571429,
58.7096774193548, 58.9677419354839, 64.4615384615385, 61.9310344827586,
60.3214285714286, 59.4137931034483, 59.5806451612903, 57.3448275862069,
64.0333333333333, 64.0333333333333, 70.15625, 71.3636363636364,
62.8125, 56.4375, 56.4516129032258, 51.741935483871, 52.84375,
53.09375, 52.969696969697, 54, 54.3870967741936, 60.3870967741936,
64.4516129032258, 66.2903225806452, 68.2333333333333, 69.7741935483871,
70.5806451612903, 73.8275862068966, 72.8181818181818, 64.6764705882353,
64.4838709677419, 68.7741935483871, 62.1764705882353, 68.969696969697,
70.1935483870968, 59.6774193548387, 59.9677419354839, 63.125,
67.5882352941177, 71.4705882352941, 73.8529411764706, 76.1935483870968,
72.6451612903226, 76.0645161290323, 76.4193548387097, 81.7741935483871,
85.0645161290323)), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA,
-102L))
Aceptado
Cree una fila de identificador único para cada uno namey luego usepivot_wider
library(dplyr)
d %>%
group_by(name) %>%
mutate(row = row_number()) %>%
tidyr::pivot_wider(names_from = name, values_from = val) %>%
select(-row)
# A tibble: 51 x 4
# time x1 `C Farolillo` `Plaza Eliptica`
# <date> <dbl> <dbl> <dbl>
# 1 2016-04-20 51.5 7 32
# 2 2016-04-21 56.3 3 25
# 3 2016-04-22 56.3 7 31
# 4 2016-04-23 57.9 13 34
# 5 2016-04-24 58.7 7 26
# 6 2016-04-25 59.0 9 33
# 7 2016-04-26 64.5 20 35
# 8 2016-04-27 61.9 19 43
# 9 2016-04-28 60.3 4 22
#10 2016-04-29 59.4 5 22
# … with 41 more rows
Normalmente el error
Warning message:
Values in `val` are not uniquely identified; output will contain list-cols.
La mayoría de las veces se debe a filas duplicadas en los datos (después de excluir la columna val) y no a duplicados en la columna val.
which(duplicated(d))
# [1] 14 65
Los datos de OP parecen tener dos filas duplicadas, lo que está causando este problema. Eliminar las filas duplicadas también elimina el error.
yy <- d %>% distinct() %>% pivot_wider(., names_from = name, values_from = val)
yy
# A tibble: 50 x 4
time x1 `C Farolillo` `Plaza Eliptica`
<date> <dbl> <dbl> <dbl>
1 2016-04-20 51.5 7 32
2 2016-04-21 56.3 3 25
3 2016-04-22 56.3 7 31
4 2016-04-23 57.9 13 34
5 2016-04-24 58.7 7 26
6 2016-04-25 59.0 9 33
7 2016-04-26 64.5 20 35
8 2016-04-27 61.9 19 43
9 2016-04-28 60.3 4 22
10 2016-04-29 59.4 5 22
# ... with 40 more rows
